PUBLISHER: TechNavio | PRODUCT CODE: 1915612
PUBLISHER: TechNavio | PRODUCT CODE: 1915612
Global AI For Debt Collection Market 2025-2029
The global AI for debt collection market is forecasted to grow by USD 2771.5 mn during 2024-2029, accelerating at a CAGR of 15.0% during the forecast period. The report on the global AI for debt collection market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing operational efficiency and cost reduction, enhanced customer experience and compliance adherence, advanced data analytics and predictive capabilities.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2029 |
| Series Year | 2025-2029 |
| Growth Momentum | Accelerate |
| YOY 2025 | 12.7% |
| CAGR | 15% |
| Incremental Value | $2771.5 mn |
Technavio's global AI for debt collection market is segmented as below:
By Component
- Software
- Service
By Deployment
- Cloud-based
- On-premises
By Sector
- Large enterprises
- SME
By Application
- BFSI
- Telecom
- Healthcare
- Others
Geography
- North America
- US
- Canada
- Mexico
- APAC
- China
- India
- Japan
- Australia
- South Korea
- Singapore
- Europe
- UK
- Germany
- France
- Italy
- The Netherlands
- Spain
- South America
- Brazil
- Argentina
- Colombia
- Middle East and Africa
- South Africa
- UAE
- Egypt
- Kenya
- Rest of World (ROW)
This study identifies the escalating digital transformation and automation in financial services as one of the prime reasons driving the global AI for debt collection market growth during the next few years. Also, growing sophistication of AI and machine learning algorithms and increasing pressure to optimize operational costs and enhance customer experience will lead to sizable demand in the market.
The report on the global AI for debt collection market covers the following areas:
- Global AI for debt collection market sizing
- Global AI for debt collection market forecast
- Global AI for debt collection market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI for debt collection market vendors that include Analog Legalhub Technology Solutions Pvt. Ltd., Chetu Inc., collect Artificial Intelligence GmbH, Debtist GmbH, Experian Plc, Fair Isaac Corp., Finvi, IC System Inc, InDebted Holdings Pty Ltd, Intellect Design Arena Ltd., Intelligent Contacts Inc, LexisNexis Risk Solutions., Loxon Solutions Zrt., PAIR Finance Group, Pegasystems Inc., QUALCO, Temenos AG, Tesorio Inc, TransUnion, TrueAccord. Also, the global AI for debt collection market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by Sector
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
5 Historic Market Size
- 5.1 Global AI For Debt Collection Market 2019 - 2023
- Historic Market Size - Data Table on Global AI For Debt Collection Market 2019 - 2023 ($ million)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ million)
- 5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
- 5.4 Sector segment analysis 2019 - 2023
- Historic Market Size - Sector Segment 2019 - 2023 ($ million)
- 5.5 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ million)
- 5.6 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ million)
- 5.7 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ million)
6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
7 Market Segmentation by Component
- 7.1 Market segments
- 7.2 Comparison by Component
- 7.3 Software - Market size and forecast 2024-2029
- 7.4 Service - Market size and forecast 2024-2029
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ million)
8 Market Segmentation by Deployment
- 8.1 Market segments
- 8.2 Comparison by Deployment
- 8.3 Cloud-based - Market size and forecast 2024-2029
- 8.4 On-premises - Market size and forecast 2024-2029
- 8.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)
9 Market Segmentation by Sector
- 9.1 Market segments
- 9.2 Comparison by Sector
- 9.3 Large enterprises - Market size and forecast 2024-2029
- 9.4 SME - Market size and forecast 2024-2029
- 9.5 Market opportunity by Sector
- Market opportunity by Sector ($ million)
10 Market Segmentation by Application
- 10.1 Market segments
- 10.2 Comparison by Application
- 10.3 BFSI - Market size and forecast 2024-2029
- 10.4 Telecom - Market size and forecast 2024-2029
- 10.5 Healthcare - Market size and forecast 2024-2029
- 10.6 Others - Market size and forecast 2024-2029
- 10.7 Market opportunity by Application
- Market opportunity by Application ($ million)
11 Customer Landscape
- 11.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
12 Geographic Landscape
- 12.1 Geographic segmentation
- 12.2 Geographic comparison
- 12.3 North America - Market size and forecast 2024-2029
- 12.3.1 US - Market size and forecast 2024-2029
- 12.3.2 Canada - Market size and forecast 2024-2029
- 12.3.3 Mexico - Market size and forecast 2024-2029
- 12.4 APAC - Market size and forecast 2024-2029
- 12.4.1 China - Market size and forecast 2024-2029
- 12.4.2 India - Market size and forecast 2024-2029
- 12.4.3 Japan - Market size and forecast 2024-2029
- 12.4.4 Australia - Market size and forecast 2024-2029
- 12.4.5 South Korea - Market size and forecast 2024-2029
- 12.4.6 Singapore - Market size and forecast 2024-2029
- 12.5 Europe - Market size and forecast 2024-2029
- 12.5.1 UK - Market size and forecast 2024-2029
- 12.5.2 Germany - Market size and forecast 2024-2029
- 12.5.3 France - Market size and forecast 2024-2029
- 12.5.4 Italy - Market size and forecast 2024-2029
- 12.5.5 The Netherlands - Market size and forecast 2024-2029
- 12.5.6 Spain - Market size and forecast 2024-2029
- 12.6 South America - Market size and forecast 2024-2029
- 12.6.1 Brazil - Market size and forecast 2024-2029
- 12.6.2 Argentina - Market size and forecast 2024-2029
- 12.6.3 Colombia - Market size and forecast 2024-2029
- 12.7 Middle East and Africa - Market size and forecast 2024-2029
- 12.7.1 South Africa - Market size and forecast 2024-2029
- 12.7.2 UAE - Market size and forecast 2024-2029
- 12.7.3 Saudi Arabia - Market size and forecast 2024-2029
- 12.7.4 Egypt - Market size and forecast 2024-2029
- 12.7.5 Kenya - Market size and forecast 2024-2029
- 12.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
13 Drivers, Challenges, and Opportunity
- 13.1 Market drivers
- Increasing operational efficiency and cost reduction
- Enhanced customer experience and compliance adherence
- Advanced data analytics and predictive capabilities
- 13.2 Market challenges
- Regulatory compliance and ethical AI deployment
- Data privacy, security, and quality concerns
- High implementation costs and integration complexity
- 13.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 13.4 Market opportunities
- Escalating digital transformation and automation in financial services
- Growing sophistication of AI and machine learning algorithms
- Increasing pressure to optimize operational costs and enhance customer experience
14 Competitive Landscape
- 14.1 Overview
- 14.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 14.3 Landscape disruption
- Overview on factors of disruption
- 14.4 Industry risks
- Impact of key risks on business
15 Competitive Analysis
- 15.1 Companies profiled
- Companies covered
- 15.2 Company ranking index
- Company ranking index
- 15.3 Market positioning of companies
- Matrix on companies position and classification
- 15.4 Analog Legalhub Technology Solutions Pvt. Ltd.
- Analog Legalhub Technology Solutions Pvt. Ltd. - Overview
- Analog Legalhub Technology Solutions Pvt. Ltd. - Product / Service
- Analog Legalhub Technology Solutions Pvt. Ltd. - Key offerings
- SWOT
- 15.5 collect Artificial Intelligence GmbH
- collect Artificial Intelligence GmbH - Overview
- collect Artificial Intelligence GmbH - Product / Service
- collect Artificial Intelligence GmbH - Key offerings
- SWOT
- 15.6 Experian Plc
- Experian Plc - Overview
- Experian Plc - Business segments
- Experian Plc - Key offerings
- Experian Plc - Segment focus
- SWOT
- 15.7 Fair Isaac Corp.
- Fair Isaac Corp. - Overview
- Fair Isaac Corp. - Business segments
- Fair Isaac Corp. - Key news
- Fair Isaac Corp. - Key offerings
- Fair Isaac Corp. - Segment focus
- SWOT
- 15.8 Finvi
- Finvi - Overview
- Finvi - Product / Service
- Finvi - Key offerings
- SWOT
- 15.9 InDebted Holdings Pty Ltd
- InDebted Holdings Pty Ltd - Overview
- InDebted Holdings Pty Ltd - Product / Service
- InDebted Holdings Pty Ltd - Key offerings
- SWOT
- 15.10 Intellect Design Arena Ltd.
- Intellect Design Arena Ltd. - Overview
- Intellect Design Arena Ltd. - Product / Service
- Intellect Design Arena Ltd. - Key offerings
- SWOT
- 15.11 LexisNexis Risk Solutions.
- LexisNexis Risk Solutions. - Overview
- LexisNexis Risk Solutions. - Product / Service
- LexisNexis Risk Solutions. - Key offerings
- SWOT
- 15.12 PAIR Finance Group
- PAIR Finance Group - Overview
- PAIR Finance Group - Product / Service
- PAIR Finance Group - Key offerings
- SWOT
- 15.13 Pegasystems Inc.
- Pegasystems Inc. - Overview
- Pegasystems Inc. - Product / Service
- Pegasystems Inc. - Key offerings
- SWOT
- 15.14 QUALCO
- QUALCO - Overview
- QUALCO - Product / Service
- QUALCO - Key offerings
- SWOT
- 15.15 Temenos AG
- Temenos AG - Overview
- Temenos AG - Business segments
- Temenos AG - Key offerings
- Temenos AG - Segment focus
- SWOT
- 15.16 Tesorio Inc
- Tesorio Inc - Overview
- Tesorio Inc - Product / Service
- Tesorio Inc - Key offerings
- SWOT
- 15.17 TransUnion
- TransUnion - Overview
- TransUnion - Business segments
- TransUnion - Key news
- TransUnion - Key offerings
- TransUnion - Segment focus
- SWOT
- 15.18 TrueAccord
- TrueAccord - Overview
- TrueAccord - Product / Service
- TrueAccord - Key offerings
- SWOT
16 Appendix
- 16.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 16.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 16.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 16.4 Research methodology
- Research methodology
- 16.5 Data procurement
- Information sources
- 16.6 Data validation
- Data validation
- 16.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 16.8 Data synthesis
- Data synthesis
- 16.9 360 degree market analysis
- 360 degree market analysis
- 16.10 List of abbreviations
- List of abbreviations
